Tom Fawcett

According to our database, Tom Fawcett authored at least 31 papers between 1989 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science.

Tom Fawcett

Big Data, 2015

2014

Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making".

Foster J. Provost, Tom Fawcett

Big Data, 2014

2013

Data Science and its Relationship to Big Data and Data-Driven Decision Making.

Foster J. Provost, Tom Fawcett

Big Data, 2013

2011

Editorial survey: swarm intelligence for data mining.

David Martens, Bart Baesens, Tom Fawcett

Mach. Learn., 2011

2008

Data mining with cellular automata.

Tom Fawcett

SIGKDD Explor., 2008

PRIE: a system for generating rulelists to maximize ROC performance.

Tom Fawcett

Data Min. Knowl. Discov., 2008

2007

PAV and the ROC convex hull.

Tom Fawcett, Alexandru Niculescu-Mizil

Mach. Learn., 2007

2006

ROC graphs with instance-varying costs.

Tom Fawcett

Pattern Recognit. Lett., 2006

An introduction to ROC analysis.

Tom Fawcett

Pattern Recognit. Lett., 2006

2005

A Response to Webb and Ting's <i>On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions</i>.

Tom Fawcett, Peter A. Flach

Mach. Learn., 2005

2004

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.

Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans

Mach. Learn., 2004

Editorial: Data Mining Lessons Learned.

Nada Lavrac, Hiroshi Motoda, Tom Fawcett

Mach. Learn., 2004

"In vivo" spam filtering: A challenge problem for data mining

Tom Fawcett

CoRR, 2004

2003

"In vivo" spam filtering: a challenge problem for KDD.

Tom Fawcett

SIGKDD Explor., 2003

2001

Robust Classification for Imprecise Environments.

Foster J. Provost, Tom Fawcett

Mach. Learn., 2001

Using Rule Sets to Maximize ROC Performance.

Tom Fawcett

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999

Activity Monitoring: Noticing Interesting Changes in Behavior.

Tom Fawcett, Foster J. Provost

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

AI Approaches to Fraud Detection and Risk Management.

Tom Fawcett, Ira J. Haimowitz, Foster J. Provost, Salvatore J. Stolfo

AI Mag., 1998

The Case against Accuracy Estimation for Comparing Induction Algorithms.

Foster J. Provost, Tom Fawcett, Ron Kohavi

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Robust Classification Systems for Imprecise Environments.

Foster J. Provost, Tom Fawcett

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Adaptive Fraud Detection.

Tom Fawcett, Foster J. Provost

Data Min. Knowl. Discov., 1997

Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions.

Foster J. Provost, Tom Fawcett

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996

Knowledge-Based Feature Discovery for Evaluation Functions.

Tom Fawcett

Comput. Intell., 1996

Combining Data Mining and Machine Learning for Effective User Profiling.

Tom Fawcett, Foster J. Provost

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1992

Intelligent and Cooperative Information Systems Meet Machine Learning.

John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac

Int. J. Cooperative Inf. Syst., 1992

Automatic Feature Generation for Problem Solving Systems.

Tom Fawcett, Paul E. Utgoff

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991

Othello Domain Theory.

Tom Fawcett

Dataset, January, 1991

A Framework for Cooperative Adaptable Information Systems.

John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac

Proceedings of the Next Generation of Information Systems: From Data to Knowledge, 1991

CABOT: An Adaptive Approach to Case-Based Search.

James P. Callan, Tom Fawcett, Edwina L. Rissland

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

A Hybrid Method for Feature Generation.

Tom Fawcett, Paul E. Utgoff

Proceedings of the Eighth International Workshop (ML91), 1991

1989

Learning from Plausible Explanations.

Tom Fawcett

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989